DevOps Engineer (SRE Observability)

Lingaro is a company established in 2008 with over 1500 talents across 7 global locations. It provides a "Office as an option" work model allowing remote or office work, and is a Great Place to Work® certified employer, focusing on comprehensive onboarding, upskilling, diversity, and employee well-being.

• At least 4 years of professional experience in a similar position.
• Fundamental understanding of SRE methodologies for reliability, scalability, and performance.
• Experience with cloud and Kubernetes technologies including Microsoft Azure, AKS, Kafka, HVR, and Databricks.
• Expertise in coding and scripting using Python, Java, and Shell Scripting, with strong automation skills.
• Experience with monitoring, alerting, and logging systems, including tools like Grafana, Prometheus, Datadog, or Dynatrace.
• Experience implementing CI/CD using Terraform and GitHub Actions.
• Prior work on enhancing data resiliency by defining and tracking key Data Quality metrics such as Timeliness, Consistency, Completeness, and Accuracy.
• Strong problem-solving skills and attention to detail.
• English language proficiency at least at B2 level.

• Architect, build, and continuously evolve the core M&O platform and services providing observability and data quality functions.
• Maintain and enhance stability, availability, and performance of critical applications and data infrastructure using SRE principles.
• Develop intelligent systems to proactively identify, diagnose, and automate or semi-automate resolution of technical issues.
• Build capabilities for measuring, monitoring, and reporting on data quality dimensions including Timeliness, Consistency, Completeness, Accuracy, Validity, and Uniqueness.
• Develop and manage unified dashboard interfaces (e.g., Grafana, Power BI, Databricks) for visualization of KPIs, system health, operational metrics, financial insights, and data quality metrics.
• Drive platform automation through Infrastructure as Code (IaC), CI/CD pipelines, and scripting (Python, Shell) for provisioning and operational workflows.
• Integrate technologies like Fivetran, AKS, Kafka, Azure SQL Server, Databricks, and Flink within Azure cloud ensuring seamless data flow.
• Embed FinOps practices to monitor cloud usage and spending, identifying cost reduction opportunities.